M&A Consultant – Life Sciences

Jobtailor

Greater London

On-site

GBP 90,000 - 140,000

Full time

7 days ago

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Job summary

Jobtailor, a London-based management consulting firm, seeks a Life Sciences M&A Transformation Senior Consultant to lead integration and separation programs across clinical, regulatory, safety, and commercial functions in the Life Sciences space.

You will shape Day 1 to Day 100 strategies, advise executives, and drive AI-enabled data and architecture initiatives, with a focus on achieving transaction synergies.

Qualifications

Strong understanding of pharmaceutical business processes across Clinical Development, Regulatory Affairs, Safety, Quality, and/or Commercial functions.
Experience supporting mergers, acquisitions, divestitures, carve-outs, integrations, and large transformation programs.
Strong understanding of enterprise architecture, application portfolio assessment, and technology operating models.
Experience evaluating business, data, application, and process impacts of organizational change.
Understanding of data migration, master data management, governance, interoperability, and reporting architectures.
Ability to develop integration, separation, and transformation roadmaps across business and technology domains.

Responsibilities

Lead cross-functional teams to deliver complex transformation programs and realize transaction synergies.
Advise executive stakeholders on risks, dependencies, governance models, and value realization opportunities.
Define Day 1, TSA, Day 100, and target-state integration or separation strategies.
Monitor emerging trends in digital transformation, enterprise architecture, and AI-enabled integration.

Skills

M&A integration

Cross-functional leadership

Enterprise Architecture

Data Governance

Problem-Solving

Education

MBA

MSc

PharmD

PhD

TOGAF

Tools

Veeva

Medidata

RIMS

CTMS

ERP

Job description

Assess the impact of acquisitions, divestitures, carve-outs, and business restructurings on operating models, business capabilities, processes, data, and technology landscapes
Conduct due diligence, integration assessments, and separation planning across Life Sciences functions
Define Day 1, TSA, Day 100, and target-state integration or separation strategies
Advise executive stakeholders on risks, dependencies, governance models, and value realization opportunities
Analyze the impact of M&A transactions on clinical, regulatory, safety, quality, and commercial business processes
Assess enterprise application portfolios and identify integration, coexistence, rationalization, or separation requirements
Evaluate data migration, master data management, governance, reporting, and interoperability challenges
Develop future-state architectures supporting business and regulatory objectives
Define phased integration and separation roadmaps aligned to business priorities and transaction objectives
Establish approaches for application consolidation, data harmonization, process standardization, and organizational alignment
Lead cross-functional teams to deliver complex transformation programs and realize transaction synergies
Assess the impact of M&A activities on AI capabilities, data products, analytics platforms, and digital assets
Identify opportunities to leverage AI, GenAI, and Agentic AI to accelerate integration, improve decision making, and automate business processes
Establish governance and operating models for integrating AI-enabled capabilities in regulated environments
Develop methodologies, frameworks, and assets supporting Life Sciences M&A transformation
Monitor emerging trends in digital transformation, enterprise architecture, and AI-enabled integration
Mentor consulting teams and contribute to capability development across the Life Sciences practice

Requirements

Strong understanding of pharmaceutical business processes across Clinical Development, Regulatory Affairs, Safety, Quality, and/or Commercial functions
Experience supporting mergers, acquisitions, divestitures, carve-outs, integrations, and large transformation programs
Strong understanding of enterprise architecture, application portfolio assessment, and technology operating models
Experience evaluating business, data, application, and process impacts of organizational change
Understanding of data migration, master data management, governance, interoperability, and reporting architectures
Ability to develop integration, separation, and transformation roadmaps across business and technology domains
Experience working with senior business and technology stakeholders
12+ years of relevant Life Sciences experience with a minimum of 7 years in a consulting organization
Bachelor's degree in Life Sciences, Pharmacy, Engineering, Computer Science, Information Systems, or related field
Experience with M&A due diligence, Day 1 planning, TSA management, post-merger integration, and divestiture initiatives
Familiarity with Life Sciences platforms such as Veeva, Medidata, RIMS, CTMS, Safety Systems, ELN, PPM, ERP, and Quality Management solutions
Experience developing target operating models and enterprise architecture strategies
Knowledge of pharmaceutical data domains including clinical, regulatory, safety, product, and commercial data
Experience applying AI, GenAI, or Agentic AI within Life Sciences organizations
Strong analytical, stakeholder management, and problem-solving skills
MBA, MSc, PharmD, PhD, TOGAF, or equivalent advanced qualifications are preferred

Core Competencies

Demonstrates expertise in assessing and integrating business capabilities, processes, and technology landscapes within Life Sciences, particularly in the context of mergers and acquisitions. Proficient in developing transformation roadmaps and governance models that align with regulatory and business objectives.

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